Radiofrequency (RF) induced tissue heating during magnetic resonance imaging (MRI) is the predominant safety risk for patients with active electronic implants such as cardiac implantable electronic devices (CIEDs) which typically have elongated conductive leads. Currently, abandoned CIED leads, as well as CIEDs with epicardial leads, are contraindicated for MRI exams. Recent studies have demonstrated the superior safety of vertical, open-bore MRI systems regarding RF heating compared to conventional closed-bore scanners. However, these studies only investigated deep brain stimulation (DBS) and passive devices. In this study, we compared the RF heating of three commercially available epicardial leads in clinically available closed-bore and open-bore MRI systems. Results from the phantom experiments revealed significantly lower RF heating with up to a nine-fold reduction in the mean temperature rise in the tissue-mimicking gel. Our results are in line with previous findings, suggesting that vertical MRI systems can offer a potentially safer platform for imaging this patient population.
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http://dx.doi.org/10.1109/EMBC53108.2024.10781567 | DOI Listing |
Sci Adv
March 2025
College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Brain age gap (BAG), the deviation between estimated brain age and chronological age, is a promising marker of brain health. However, the genetic architecture and reliable targets for brain aging remains poorly understood. In this study, we estimate magnetic resonance imaging (MRI)-based brain age using deep learning models trained on the UK Biobank and validated with three external datasets.
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March 2025
Functional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, Center for Neuroscience and Cognitive Systems @UniTn, Rovereto, Italy.
Chromosome 22q11.2 deletion increases the risk of neuropsychiatric disorders like autism and schizophrenia. Disruption of large-scale functional connectivity in 22q11 deletion syndrome (22q11DS) has been widely reported, but the biological factors driving these changes remain unclear.
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March 2025
Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic.
Longitudinal neuroimaging studies offer valuable insight into brain development, ageing, and disease progression over time. However, prevailing analytical approaches rooted in our understanding of population variation are primarily tailored for cross-sectional studies. To fully leverage the potential of longitudinal neuroimaging, we need methodologies that account for the complex interplay between population variation and individual dynamics.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
March 2025
Department of Medical Imaging, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
Background: Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) is currently under evaluation for detecting clinically significant prostate cancer. The PSMA-PET/CT may complement the current standard diagnostic pathway for prostate cancer, which includes prostate-specific antigen (PSA) testing and multiparametric magnetic resonance imaging (mpMRI). This study evaluated the cost-effectiveness and quality of life impact of incorporating PSMA-PET/CT into this diagnostic algorithm.
View Article and Find Full Text PDFHum Brain Mapp
March 2025
National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Self-reported physical activity is associated with lower brain food cue responsiveness in reward-related regions, but relationships utilizing objective physical activity measurement tools have not been explored. This cross-sectional study examined whether device-measured moderate-to-vigorous intensity physical activity and sedentary time are related to neural responses to visual food cues using functional magnetic resonance imaging. Fifty-one healthy adults (30 men, 21 women; mean ± SD: age 26 ± 6 years; body mass index 24.
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